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java.lang.RuntimeException: Predicted class probability NaN!
User222697
Member Posts: 17 
Contributor II
Contributor II
Using auto-model feature with the following options enabled (attached screenshot)
will produce the following error, however, it does not always appear instantly, it may take some time.
Error
will produce the following error, however, it does not always appear instantly, it may take some time.
Error
Process: Deep Learning
java.lang.RuntimeException: Predicted class probability NaN!
Details
sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method) sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62) sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45) java.lang.reflect.Constructor.newInstance(Constructor.java:423) java.util.concurrent.ForkJoinTask.getThrowableException(ForkJoinTask.java:593) java.util.concurrent.ForkJoinTask.get(ForkJoinTask.java:1005) com.rapidminer.studio.concurrency.internal.AbstractConcurrencyContext.collectResults(AbstractConcurrencyContext.java:206) com.rapidminer.studio.concurrency.internal.StudioConcurrencyContext.collectResults(StudioConcurrencyContext.java:33) com.rapidminer.studio.concurrency.internal.AbstractConcurrencyContext.call(AbstractConcurrencyContext.java:141) com.rapidminer.studio.concurrency.internal.StudioConcurrencyContext.call(StudioConcurrencyContext.java:33) com.rapidminer.extension.concurrency.execution.BackgroundExecutionService.executeOperatorTasks(BackgroundExecutionService.java:401) com.rapidminer.extension.concurrency.operator.validation.CrossValidationOperator.performParallelValidation(CrossValidationOperator.java:442) com.rapidminer.extension.concurrency.operator.validation.CrossValidationOperator.doWork(CrossValidationOperator.java:287) com.rapidminer.operator.Operator.execute(Operator.java:1026) com.rapidminer.operator.execution.SimpleUnitExecutor.execute(SimpleUnitExecutor.java:77) com.rapidminer.operator.ExecutionUnit$2.run(ExecutionUnit.java:812) com.rapidminer.operator.ExecutionUnit$2.run(ExecutionUnit.java:807) java.security.AccessController.doPrivileged(Native Method) com.rapidminer.operator.ExecutionUnit.execute(ExecutionUnit.java:807) com.rapidminer.extension.modelsimulator.operator.feature_engineering.AutomaticFeatureEngineeringOperator.evaluate(AutomaticFeatureEngineeringOperator.java:354) com.rapidminer.extension.modelsimulator.operator.feature_engineering.AutomaticFeatureEngineeringOperator.access$000(AutomaticFeatureEngineeringOperator.java:74) com.rapidminer.extension.modelsimulator.operator.feature_engineering.AutomaticFeatureEngineeringOperator$1PerformanceCalculator.calculateError(AutomaticFeatureEngineeringOperator.java:241) com.rapidminer.extension.modelsimulator.operator.feature_engineering.optimization.AutomaticFeatureEngineering.evaluate(AutomaticFeatureEngineering.java:278) com.rapidminer.extension.modelsimulator.operator.feature_engineering.optimization.AutomaticFeatureEngineering.run(AutomaticFeatureEngineering.java:198) com.rapidminer.extension.modelsimulator.operator.feature_engineering.AutomaticFeatureEngineeringOperator.doWork(AutomaticFeatureEngineeringOperator.java:308) com.rapidminer.operator.Operator.execute(Operator.java:1026) com.rapidminer.operator.execution.SimpleUnitExecutor.execute(SimpleUnitExecutor.java:77) com.rapidminer.operator.ExecutionUnit$2.run(ExecutionUnit.java:812) com.rapidminer.operator.ExecutionUnit$2.run(ExecutionUnit.java:807) java.security.AccessController.doPrivileged(Native Method) com.rapidminer.operator.ExecutionUnit.execute(ExecutionUnit.java:807) com.rapidminer.operator.OperatorChain.doWork(OperatorChain.java:423) com.rapidminer.operator.Operator.execute(Operator.java:1026) com.rapidminer.Process.executeRoot(Process.java:1386) com.rapidminer.Process.execute(Process.java:1327) com.rapidminer.Process.run(Process.java:1300) com.rapidminer.Process.run(Process.java:1186) com.rapidminer.Process.run(Process.java:1139) com.rapidminer.Process.run(Process.java:1134) com.rapidminer.Process.run(Process.java:1124) com.rapidminer.extension.modelsimulator.modelwizard.results.AnalyticsProcess$1.run(AnalyticsProcess.java:639) java.lang.Thread.run(Thread.java:748)
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Comments
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Hello @User222697
If possible can you provide the data so that we try to reproduce this error and see what the issue is?Regards,
Varun
https://www.varunmandalapu.com/Be Safe. Follow precautions and Maintain Social Distancing
0 -
IngoRM Employee-RapidMiner, RapidMiner Certified Analyst, RapidMiner Certified Expert, Community Manager, RMResearcher, Member, University Professor Posts: 1,751
RM Founder
Hi,Thanks for posting, I have been running into a similar problem with Deep Learning and GLM just last week connected to Automatic Feature Generation. For those two learners we use the H2O library and it looks like it chokes on some of the generated values (probably infinity). We will have a look into this asap. What helped me last week was to reduce the function complexity to low or medium and then it was working.Sorry for the inconvenience,IngoP.S.: Feature Generation for Deep Learning is by the way relatively pointless (in terms of accuracy, still may help for understandability improvements). So the easiest workaround for the time being may be: just don't do it ;-)7 -
IngoRM Employee-RapidMiner, RapidMiner Certified Analyst, RapidMiner Certified Expert, Community Manager, RMResearcher, Member, University Professor Posts: 1,751 RM Founder
Just FYI: this issue has indeed been caused by cases where (too many) infinite values have been generated. The fix for this will be part of the upcoming release RapidMiner v9.3.Thanks again for pointing this out,
Ingo1
Unicorn